4,026 to 4,050 of 9,895 Permanent Azure Jobs

Experience designing, building, or supervising agentic AI tools in a software development context Experience deploying and operating apps on cloud platforms (Vercel, AWS, GCP, Azure, or Docker) Experience with CI/CD pipelines, logging, monitoring, and automated testing Familiarity with the Dutch business and enterprise software landscape About ...

tools for managing the machine learning lifecycleExperience building and deploying Generative AI applications, including familiarity with LLMOpsExposure to cloud platforms (such as AWS, GCP, Azure)Demonstrated problem-solving skills and ability to work independently or in small teamsAbility to communicate technical concepts clearly to business stakeholders and non-technical ...

. Proficiency with Linux/Unix command line for diagnostics, configuration, and validation. Experience working across virtualisation platforms (VMware, VirtualBox) and cloud environments (AWS, Azure, GCP). Infrastructure as Code (IaC) Terraform: writing/validating HCL, managing state, using modules. Ansible: building playbooks/roles, inventories, and validating idempotency. ...

skills. Ability to work collaboratively with cross-functional teams. Desirable Software Development methodologies (Agile, Lean) Software Development tools (PowerApps, PowerAutomate, React..... Cloud Data Processing (Azure DataFactory, ......) Data Warehousing/Data Lakes Challenges and Improvements: Addressing data inconsistencies and integrating data from multiple sources. Managing stakeholder expectations and ensuring ...

Hands-on experience with containerization technologies like Docker and orchestration platforms such as Kubernetes or OpenShift. - Working knowledge of cloud platforms such as AWS, Azure, or Google Cloud. - Familiarity with observability and monitoring tools like Prometheus, Grafana, or Dynatrace. - Excellent communication skills and the ability to collaborate across business ...

prepared to sacrifice your work‐life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements Technical stack : Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, GitHub Actions. Observability : Experience implementing logging, metrics, and tracing frameworks. Security : Familiarity with best practices ...

managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders ...

development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with ...

management, OTA, or marketplace technology. Knowledge of booking, inventory, availability, pricing, payments, distribution, or property‐management systems. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with event‐driven architecture, microservices, data platforms, and integration technologies. Experience with payment, identity, CRM, analytics, or third‐party marketplace ...

customer sites and sales events. Experience/qualifications/skills Strong understanding of IT infrastructure (cloud, on-prem, hybrid); Experience with cloud platforms (AWS, Azure, GCP); Confident presenter with customer-facing experience; Knowledge of networking, security, and system architecture. VLAN, RAID, CPU and hardware design, IP networking, IP routing ...

. Proficiency with Linux/Unix command line for diagnostics, configuration, and validation. Experience working across virtualisation platforms (VMware, VirtualBox) and cloud environments (AWS, Azure, GCP). Infrastructure as Code (IaC) Terraform: writing/validating HCL, managing state, using modules. Ansible: building playbooks/roles, inventories, and validating idempotency. ...

discipline. Comfort and curiosity with AI-assisted development tools and a track record of staying ahead of technology trends. Experience with cloud architecture (AWS, Azure, and/or Google Cloud). Proven experience with software engineering fundamentals: object-oriented and component-based design, design patterns, unit/integration testing ...

hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector ...

with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, CircleCI) and automated test integrations. Experience with containerisation and cloud technologies (Docker, Kubernetes, AWS, Azure) for test environment management. Proficient in test data generation and QA environment maintenance leveraging AI where appropriate. About Olo Olo is a leading restaurant ...

optimise Linux-based environments, ensuring stability and performance Develop automation scripts and tooling using Python and other relevant languages Work with AWS/Azure cloud services to architect and support resilient infrastructure Implement monitoring, logging, and alerting solutions to ensure system health and availability. Collaborate with cross-functional teams ...

both technical and non-technical audiences Desirable skills include Experience within Financial Services or another regulated environment Knowledge of cloud platforms such as AWS, Azure or Google Cloud Experience of Agile and DevOps delivery Knowledge of modern integration, APIs, microservices and data technologies If you're passionate about using ...

Server and/or Linux, plus virtualization (VMware, Hyper‐V). Strong communication skills and a collaborative mindset. Previous Exposure to cloud platforms (AWS, Azure, GCP). Security & Vetting Requirements Please note that this role may be subject to security and export control requirements. As a result, employment ...

testing concepts, methodologies and processes Knowledge and experience working with Docker Experience with C#/.NET environment Familiarity with .NET Aspire Practical knowledge of Azure DevOps (ADO) for managing CI/CD workflows and deployment pipelines Exposure to AWS services, with an interest in working within a modern cloud ...

automating large volumes of diverse input files, including CSV, JSON, and XML formatPreferred qualifications, capabilities, and skillsExposure to cloud technologies like AWS/Azure/GCPExposure to LLM models like ChatGPT, Google Bard etc. Exposure to Langchain, RAG and Fine Tuning of the LLM Models. Exposure to PySpark ...

with training and development in some areas! JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI/Swagger Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Unit testing and automation Testing frameworks (e.g. ...

similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Expertise in relational databases (e.g. postgres, sql server) Data Integration Tools: Knowledge of platforms like Airflow ...

Experience Core Software Engineering JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI/Swagger Cloud & Infrastructure Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Data & Search Technologies Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Testing & Quality Unit testing ...

their limitations, and knowing how to overcome them in complex environments Experience designing/implementing highly scalable, highly available cloud services (e.g., GCP/Azure) Breadth across modern + legacy technology stacks such as Docker, Kubernetes, microservices, API gateways (Kong), REST, Kafka, React Familiarity with large-scale transformation using ...

such as Dynatrace, Prometheus, Grafana, and Splunk. Good understanding of CI/CD tooling and modern software delivery practices, including Jenkins, GitLab CI, and Azure DevOps. A background spanning both software engineering and technology operations environments. Professional certifications in cloud technologies, Site Reliability Engineering, platform engineering, or reliability engineering ...

supervised learning and unsupervised learning. Proven expertise in model tuning and feature selection, with the judgement to evaluate and improve model performance. Experience using Azure and Databricks within a modern data environment. A strong listener and communicator who can explain technical concepts and findings clearly to different audiences. ...